I am Kushal from LearnVern.( 6 seconds pause ; music )
You are welcome to the course of Machine learning.
This tutorial is a continuation of the previous session.
So, let us see ahead.
Now, here we can see that the installation process of anaconda is completed.
Now, here you have to just click on next.
Then after that, again you will click on next.
Here appears, "anaconda individual edition tutorial" and "getting started with anaconda" which is selected by default.
So, we will keep it untouched.
And then here we will click on finish.
With this anaconda installation is completed.
Now, it's taking us to its website.
Where, it will tell us about tutorials and anaconda clouds.
So, we will learn about this sometime later.
Now, we will check and test whether the installation of anaconda is completed or not.
I will click on windows, and here I will type anaconda.
Here, you can see "anaconda prompt"
And "anaconda navigator"
Now, "anaconda prompt" will appear as a CMD command prompt in black screen, where you can write your command, and if you have to do any installation or setup by using pip and conda, which are utilities, that we will understand later, that you can do here.
Okay , guys !
Now, I will open "anaconda Navigator".
So let me open the anaconda navigator.
Now, this is a Utility which helps us with so many tools because as I had explained to it, it is a data science tool kit.
So, a toolkit means it is going to give us many softwares.
Along with python, vs code, r programming it also gives us r studio.
So let's wait so that it opens.
You will see black screens which will keep appearing and this is a normal process.
Now, you will see a green icon of anaconda after this anaconda window will open.
So, some processes are still undergoing and now the wait is almost over and we will have the window soon.
Now , you can see the wait is over and the window is in front of us.
I will minimise this prompt.
And, here you can see we have anaconda prompt here, we have datalore, IBM watson studio cloud, jupyterlab, jupyter notebook, powershell prompt.
We have so many tools that will help in creating so many applications and programmes for data science and machine learning.
We are going to use one of these tools for learning.
We will use a jupyter notebook and here I will click on the launch item after which the jupyter notebook will be launched.
If you wish to open a jupyter notebook without opening an anaconda then you can directly do so by clicking on windows and by typing jupyter notebook and from here also u can open it directly.
Understood guys! Great !
So these are the two methods that is,
First you can open an anaconda and use any tool, otherwise you can directly go to windows and open a jupyter notebook.
So, I will give a little bit of details about the jupyter notebook.
This is its home screen, here is its quit or log out, when you are done with your work you can quit or log out.
Otherwise these are folders and files for working directories and, here you have to go on new and click on python 3, to open a new notebook.
We will learn about it in detail in the next sessions.
For now, we will write a test code over here i.e print and in brackets hello world, H E L L O W O R L D and execute this.
You can see it's working perfectly.
So my jupyter notebook is also installed over here.
So, friends let's conclude here for today,
Today's session will end here.
And it's another part we will see in the next session.
So keep learning and remain motivated
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